Citation: | YAN G Y, CHEN W H, QIAN H H. Effects of agricultural technical efficiency on agricultural carbon emission: Based on spatial spillover effect and threshold effect analysis[J]. Chinese Journal of Eco-Agriculture, 2023, 31(2): 226−240 doi: 10.12357/cjea.20220571 |
[1] |
王一鸣. 百年大变局、高质量发展与构建新发展格局[J]. 管理世界, 2020, 36(12): 1−13
WANG Y M. Changes unseen in a century, high-quality development, and the construction of a new development pattern[J]. Management World, 2020, 36(12): 1−13
|
[2] |
黄杰, 孙自敏. 中国种植业碳生产率的区域差异及分布动态演进[J]. 农业技术经济, 2022(7): 109−127
HUANG J, SUN Z M. Regional differences and distribution dynamics of carbon productivity in planting industry in China[J]. Journal of Agrotechnical Economics, 2022(7): 109−127
|
[3] |
李劼, 徐晋涛. 我国农业低碳技术的减排潜力分析[J]. 农业经济问题, 2022, 43(3): 117−135
LI J, XU J T. Analyses of carbon reduction potential of low carbon technologies in China[J]. Issues in Agricultural Economy, 2022, 43(3): 117−135
|
[4] |
YANG L S, LI Z. Technology advance and the carbon dioxide emission in China - Empirical research based on the rebound effect[J]. Energy Policy, 2017, 101(2): 150−161
|
[5] |
李波, 张俊飚, 李海鹏. 中国农业碳排放时空特征及影响因素分解[J]. 中国人口·资源与环境, 2011, 21(8): 80−86
LI B, ZHANG J B, LI H P. Research on spatial-temporal characteristics and affecting factors decomposition of agricultural carbon emission in China[J]. China Population, Resources and Environment, 2011, 21(8): 80−86
|
[6] |
刘杨, 刘鸿斌. 山东省农业碳排放特征、影响因素及达峰分析[J]. 中国生态农业学报(中英文), 2022, 30(4): 558−569
LIU Y, LIU H B. Characteristics, influencing factors and peak analysis of agricultural carbon emissions in Shandong Province[J]. Chinese Journal of Eco-Agriculture, 2022, 30(4): 558−569
|
[7] |
ZHOU P, ANG B W, HAN J Y. Total factor carbon emission performance: a Malmquist index analysis[J]. Energy Economics, 2010, 32(1): 194−201
|
[8] |
张永强, 田媛, 王珧, 等. 农村人力资本、农业技术进步与农业碳排放[J]. 科技管理研究, 2019, 39(14): 266−274
ZHANG Y Q, TIAN Y, WANG Y, et al. Rural human capital, agricultural technology progress and agricultural carbon emissions[J]. Science and Technology Management Research, 2019, 39(14): 266−274
|
[9] |
庞丽. 我国农业碳排放的区域差异与影响因素分析[J]. 干旱区资源与环境, 2014, 28(12): 1−7
PANG L. Empirical study of regional carbon emissions of agriculture in China[J]. Journal of Arid Land Resources and Environment, 2014, 28(12): 1−7
|
[10] |
邓祥征, 钟海玥, 白雪梅, 等. 中国西部城镇化可持续发展路径的探讨[J]. 中国人口·资源与环境, 2013, 23(10): 24−30
DENG X Z, ZHONG H Y, BAI X M, et al. Path of sustainable urbanization in Western China[J]. China Population, Resources and Environment, 2013, 23(10): 24−30
|
[11] |
杨钧. 农业技术进步对农业碳排放的影响−中国省级数据的检验[J]. 软科学, 2013, 27(10): 116−120
YANG J. The effects of technological advances on agricultural carbon emission — Evidence from Chinese provincial data[J]. Soft Science, 2013, 27(10): 116−120
|
[12] |
VALIN H, HAVLÍK P, MOSNIER A, et al. Agricultural productivity and greenhouse gas emissions: trade-offs or synergies between mitigation and food security?[J]. Environmental Research Letters, 2013, 8(3): 035019 doi: 10.1088/1748-9326/8/3/035019
|
[13] |
周勇, 林源源. 技术进步对能源消费回报效应的估算[J]. 经济学家, 2007(2): 45−52 doi: 10.3969/j.issn.1003-5656.2007.02.007
ZHOU Y, LIN Y Y. The estimation of technological progress on the energy consumption returns effects[J]. Economist, 2007(2): 45−52 doi: 10.3969/j.issn.1003-5656.2007.02.007
|
[14] |
李成龙, 周宏. 农业技术进步与碳排放强度关系−不同影响路径下的实证分析[J]. 中国农业大学学报, 2020, 25(11): 162−171 doi: 10.11841/j.issn.1007-4333.2020.11.17
LI C L, ZHOU H. Relationship between agricultural technology progress and carbon emission intensity: an empirical analysis under different influence paths[J]. Journal of China Agricultural University, 2020, 25(11): 162−171 doi: 10.11841/j.issn.1007-4333.2020.11.17
|
[15] |
丁超. 三角贸易及其对中国劳动生产率的影响研究[D]. 厦门: 厦门大学, 2014
DING C. Study on present situation of triangle trade and its influence on China’s labor productivity[D]. Xiamen: Xiamen University, 2014
|
[16] |
徐清华, 张广胜. 农业机械化对农业碳排放强度影响的空间溢出效应−基于282个城市面板数据的实证[J]. 中国人口·资源与环境, 2022, 32(4): 23−33
XU Q H, ZHANG G S. Spatial spillover effect of agricultural mechanization on agricultural carbon emission intensity: an empirical analysis of panel data from 282 cities[J]. China Population, Resources and Environment, 2022, 32(4): 23−33
|
[17] |
陈军娟, 燕振刚, 李薇, 等. 基于系统动力学的民勤绿洲农业系统碳排放仿真模拟研究[J]. 西南农业学报, 2022, 35(6): 1432−1440
CHEN J J, YAN Z G, LI W, et al. Simulation study on carbon emission of Minqin oasis agricultural system based on system dynamics[J]. Southwest China Journal of Agricultural Sciences, 2022, 35(6): 1432−1440
|
[18] |
何炫蕾, 陈兴鹏, 庞家幸. 基于LMDI的兰州市农业碳排放现状及影响因素分析[J]. 中国农业大学学报, 2018, 23(7): 150−158
HE X L, CHEN X P, PANG J X. Current situation and influencing factors of agricultural carbon emissions in Lanzhou based on LMDI[J]. Journal of China Agricultural University, 2018, 23(7): 150−158
|
[19] |
贺青, 张虎, 张俊飚. 农业产业聚集对农业碳排放的非线性影响[J]. 统计与决策, 2021, 37(9): 75−78
HE Q, ZHANG H, ZHANG J B. Nonlinear effects of agricultural industry aggregation on agricultural carbon emissions[J]. Statistics & Decision, 2021, 37(9): 75−78
|
[20] |
张抗私, 史策. 认知能力、技术进步与就业极化[J]. 现代财经(天津财经大学学报), 2022, 42(5): 95−113
ZHANG K S, SHI C. Cognitive ability, technological progress and employment polarization[J]. Modern Finance and Economics - Journal of Tianjin University of Finance and Economics, 2022, 42(5): 95−113
|
[21] |
杨增旭, 韩洪云. 化肥施用技术效率及影响因素−基于小麦和玉米的实证分析[J]. 中国农业大学学报, 2011, 16(1): 140−147
YANG Z X, HAN H Y. Technical efficiency of fertilizer and its influencing factors: based on wheat and corn empirical study[J]. Journal of China Agricultural University, 2011, 16(1): 140−147
|
[22] |
汪小勤, 姜涛. 基于农业公共投资视角的中国农业技术效率分析[J]. 中国农村经济, 2009(5): 79−86
WANG X Q, JIANG T. Analysis of China’s agricultural technical efficiency from the perspective of agricultural public investment[J]. Chinese Rural Economy, 2009(5): 79−86
|
[23] |
高鸣, 宋洪远. 粮食生产技术效率的空间收敛及功能区差异−兼论技术扩散的空间涟漪效应[J]. 管理世界, 2014(7): 83−92
GAO M, SONG H Y. Spatial convergence and functional zone differences of technical efficiency of grain production: a discussion on the spatial ripple effect of technology diffusion[J]. Management World, 2014(7): 83−92
|
[24] |
张思麒, 刘导波. 技术进步视角下中国产业结构高级化格局及影响因素[J]. 经济地理, 2022, 42(5): 104−113
ZHANG S Q, LIU D B. Spatial pattern and influencing factors of industrial structure advancement in China based on technological progress[J]. Economic Geography, 2022, 42(5): 104−113
|
[25] |
杨义武, 林万龙, 张莉琴. 农业技术进步、技术效率与粮食生产−来自中国省级面板数据的经验分析[J]. 农业技术经济, 2017(5): 46−56
YANG Y W, LIN W L, ZHANG L Q. Agricultural technical progress, technical efficiency and grain production: an empirical analysis from provincial panel data in China[J]. Journal of Agrotechnical Economics, 2017(5): 46−56
|
[26] |
WANG Q Y. Fixed-effect panel threshold model using stata[J]. The Stata Journal, 2015, 15(1): 121−134 doi: 10.1177/1536867X1501500108
|
[27] |
HANSEN B E. Threshold effects in non-dynamic panels: Estimation, testing, and inference[J]. Journal of Econometrics, 1999, 93(2): 345−368 doi: 10.1016/S0304-4076(99)00025-1
|
[28] |
WEST T O, MARLAND G. A synthesis of carbon sequestration, carbon emissions, and net carbon flux in agriculture: comparing tillage practices in the United States[J]. Agriculture Ecosystems & Environment, 2002, 91(1/3): 217−232
|
[29] |
智静, 高吉喜. 中国城乡居民食品消费碳排放对比分析[J]. 地理科学进展, 2009, 28(3): 429−434
ZHI J, GAO J X. Comparative analysis of carbon emissions from food consumption of urban and rural residents in China[J]. Progress in Geography, 2009, 28(3): 429−434
|
[30] |
IPCC. Climate Change 2007: The Physical Science Basis: Working Group I Contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change[M]. New York: Cambridge University Press, 2007
|
[31] |
伍芬琳, 李琳, 张海林, 等. 保护性耕作对农田生态系统净碳释放量的影响[J]. 生态学杂志, 2007(12): 2035−2039
WU F L, LI L, ZHANG H L, et al. Effects of conservation tillage on net carbon release from farmland ecosystem[J]. Chinese Journal of Ecology, 2007(12): 2035−2039
|
[32] |
傅晓霞, 吴利学. 前沿分析方法在中国经济增长核算中的适用性[J]. 世界经济, 2007, 30(7): 56−66
FU X X, WU L X. Applicability of frontier analysis method in China’s economic growth accounting[J]. The Journal of World Economy, 2007, 30(7): 56−66
|
[33] |
白俊红, 江可申, 李婧. 应用随机前沿模型评测中国区域研发创新效率[J]. 管理世界, 2009(10): 51−61
BAI J H, JIANG K S, LI J. Stochastic frontier model is applied to evaluate the innovation efficiency of regional R&D in China[J]. Management World, 2009(10): 51−61
|
[34] |
LESAGE J, PACE R K. Introduction to Spatial Econometrics[M]. Boca Raton: CRC Press, 2009: 155–165
|
[35] |
赵昕东, 刘成坤. 人口老龄化对制造业结构升级的作用机制研究−基于中介效应模型的检验[J]. 中国软科学, 2019(3): 153−163
ZHAO X D, LIU C K. Research on the mechanism of population aging to the upgrading of manufacturing structure — Based on the test of mediation effect model[J]. China Soft Science, 2019(3): 153−163
|
[36] |
郭庆旺, 贾俊雪. 中国全要素生产率的估算: 1979—2004[J]. 经济研究, 2005, 40(6): 51−60
GUO Q W, JIA J X. Estimating total factor productivity in China: 1979–2004[J]. Economic Research Journal, 2005, 40(6): 51−60
|